Linear regression – HP 33s User Manual
Page 151
Statistical
Operations
11–7
Example:
Population Standard Deviation.
Grandma Hinkle has four grown sons with heights of 170, 173, 174, and 180 cm.
Find the population standard deviation of their heights.
Keys:
Display:
Description:
{ c
{´}
Clears the statistics registers.
170
173
174
180
)
Enters data. Four data points
accumulated.
|
{
σº}
UºU¸
σºσ¸
)
Calculates the population
standard deviation.
Linear Regression
Linear regression, L.R. (also called linear estimation) is a statistical method for
finding a straight line that best fits a set of x,y–data.
Note
To avoid a !! message, enter your data before
executing any of the functions in the L.R. menu.
L.R. (Linear Regression) Menu
Menu Key
Description
{
º
ˆ
} Estimates
(predicts)
x
for a given hypothetical value of y,
based on the line calculated to fit the data.
{
¸
ˆ
} Estimates
(predicts)
y
for a given hypothetical value of x,
based on the line calculated to fit the data.
{T}
Correlation coefficient for the (x, y) data. The correlation
coefficient is a number in the range –1 through +1 that
measures how closely the calculated line fits the data.
{P}
Slope of the calculated line.
{E}
y
–intercept of the calculated line.